Abstract

People routinely make bad decisions. Far from being random, however, these bad decisions are often predictable, occurring reliably in specific contexts (1–3). One set of such suboptimal decisions are cognitive biases, wherein individuals make decisions that predictably violate rationality or their own best interests without a logical reason for doing so (4). One such bias is the sunk cost bias, in which individuals invest more time or resources in an outcome than it is worth given the potential gain, presumably because ...

This page of the database may be cited as: Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/sunk-cost-bias

Publication metadata

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.

Go to the INRMM Group in CiteULike. In this dedicated database editors may submit changes to the meta-information (login required). Inquiries may be sent to inrmm(at)maieutike.org.

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Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.